374
V
Ri L
di
dt
L i
d
d
d
q
q q
= −
−
+
s
ω
The automated energy torque is herewith calculated as
Since the variable velocity of the flying train is the direct-driven dynamo,
airstream- driven power schemes have been calculated considering its d–q synchronous and are expressed as
The energy torque is calculated as
In the above equation, the q axis maximum induction is L q , d axis mutual induction is L d , q air flow of energy is i q , i d is the d axis flow, V q is the q axis energy, V d is
the d axis energy, ω r is the rate of change of angular position of the flying train, λ is
the amplitude of flux prompted, and p is the quantity of pairs of poles. The equivalence that follows, which can be applicable in conjunction with a static d–q frame
of reference for dynamic modeling, is relevant with regard to a squirrel cage induction dynamo (SCIG):
The equations that are applicable for the stator side are
The equations that are applicable for the rotor side are
The equations that apply to the air gap flux connotation are
where R s , R r , L m , L ls , L lr , ω r , i d , i q , V d , V q , λ d , and λ q are the stator resistance, generator resistance, fascinating inductance, stator leakage inductance, rotor leakage inductance, electrical rotor velocity, and flow of energy, correspondingly, of the d–q model.
Obtaining of the torque energy (T t ) in terms of consistent speed has been calculated as
P
A C
R
T
AC
R
w
p
opt
opt
t
p
opt
,
,
=
( )
=
( )
1
2
1
2
3
ρ
λβ
ω
λ
ρ
λβ λ
3
ω opt
(17.30)
Simply through the adoption of these principles, this study adequately suggests
that flying train takeoff, landing, and flying in the sky depend on the levitation, propulsive, and aerodynamic force which can be controlled by implanting the model of
3D k-omega numerical simulation to facilitate a united power on the stator position
to run the flying train smoothly on the sky.
Conclusion
The conventional transport infrastructure systems to connect within the urban and
rural area all over the world are causing adverse traffic congestion and environmental impacts in urban areas. Thus, the solution of flying train for balancing rapid link
within the urban and rural area and controlling traffic shall indeed be a new thought
for the rapid connectivity within the cities and rural areas. Naturally, the implemen17 Rapid Connectivity Within the Urban and Rural Area
V
Ri L
di
dt
L i
d
d
d
q
q q
= −
−
+
s
ω
The automated energy torque is herewith calculated as
Since the variable velocity of the flying train is the direct-driven dynamo,
airstream- driven power schemes have been calculated considering its d–q synchronous and are expressed as
The energy torque is calculated as
In the above equation, the q axis maximum induction is L q , d axis mutual induction is L d , q air flow of energy is i q , i d is the d axis flow, V q is the q axis energy, V d is
the d axis energy, ω r is the rate of change of angular position of the flying train, λ is
the amplitude of flux prompted, and p is the quantity of pairs of poles. The equivalence that follows, which can be applicable in conjunction with a static d–q frame
of reference for dynamic modeling, is relevant with regard to a squirrel cage induction dynamo (SCIG):
The equations that are applicable for the stator side are
The equations that are applicable for the rotor side are
The equations that apply to the air gap flux connotation are
where R s , R r , L m , L ls , L lr , ω r , i d , i q , V d , V q , λ d , and λ q are the stator resistance, generator resistance, fascinating inductance, stator leakage inductance, rotor leakage inductance, electrical rotor velocity, and flow of energy, correspondingly, of the d–q model.
Obtaining of the torque energy (T t ) in terms of consistent speed has been calculated as
P
A C
R
T
AC
R
w
p
opt
opt
t
p
opt
,
,
=
( )
=
( )
1
2
1
2
3
ρ
λβ
ω
λ
ρ
λβ λ
3
ω opt
(17.30)
Simply through the adoption of these principles, this study adequately suggests
that flying train takeoff, landing, and flying in the sky depend on the levitation, propulsive, and aerodynamic force which can be controlled by implanting the model of
3D k-omega numerical simulation to facilitate a united power on the stator position
to run the flying train smoothly on the sky.
Conclusion
The conventional transport infrastructure systems to connect within the urban and
rural area all over the world are causing adverse traffic congestion and environmental impacts in urban areas. Thus, the solution of flying train for balancing rapid link
within the urban and rural area and controlling traffic shall indeed be a new thought
for the rapid connectivity within the cities and rural areas. Naturally, the implemen17 Rapid Connectivity Within the Urban and Rural Area